Evidence map›Paper›PMID 32020479›Full record

ArticleJournal of neuro-oncology2020

Relationships between recurrence patterns and subventricular zone involvement or CD133 expression in glioblastoma.

Tetsu Yamaki, Ichiyo Shibahra, Ken-Ichiro Matsuda, Yonehiro Kanemura, Tsuneo Konta, Masayuki Kanamori, Mitsunori Yamakawa, Teiji Tominaga, Yukihiko Sonoda

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In one paragraph

Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Glioblastoma Therapy: Past, Present and Future.International journal of molecular sciences · 2024
    Review
  9. Review
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  11. Glioblastoma and Methionine Addiction.International journal of molecular sciences · 2022
    Review
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  16. Article
  17. Article
  18. Article
  19. Neuro-oncology advances
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Tetsu YamakiDepartment of Neurosurgery, Faculty of Medicine, Yamagata University, 2-2 Iida-Nishi, Yamagata, Yamagata, 990-9585, Japan.
Ichiyo ShibahraDepartment of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Ken-Ichiro MatsudaDepartment of Neurosurgery, Faculty of Medicine, Yamagata University, 2-2 Iida-Nishi, Yamagata, Yamagata, 990-9585, Japan.
Yonehiro KanemuraDepartment of Biomedical Research and Innovation, Institute for Clinical Research, National Hospital Organization Osaka National Hospital, Osaka, Japan.
Tsuneo KontaDepartment of Public Health, Faculty of Medicine, Yamagata University, Yamagata, Yamagata, Japan.
Masayuki KanamoriDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Mitsunori YamakawaDepartment of Pathology, Faculty of Medicine, Yamagata University, Yamagata, Yamagata, Japan.
Teiji TominagaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Yukihiko SonodaDepartment of Neurosurgery, Faculty of Medicine, Yamagata University, 2-2 Iida-Nishi, Yamagata, Yamagata, 990-9585, Japan. ysonoda@med.id.yamagata-u.ac.jp.ORCID http://orcid.org/0000-0001-7651-1374
Yamagata University · JPTohoku University · JPKitasato University · JPOsaka National Hospital · JP

Funding

JSPS KAKENHI 17K10856
6 · The paper itself

Abstract

introductionWe previously reported that CD133 expression correlated with the recurrence pattern of glioblastoma (GBM). Subventricular zone (SVZ) involvement may also be associated with distant recurrence in GBM. Therefore, we herein investigated whether the combined analysis of SVZ involvement and CD133 expression is useful for predicting the pattern of GBM recurrence. MATERIALS AND

methodsWe retrospectively analyzed 167 cases of GBM. Tumors were divided into four groups based on spatial relationships between contrast-enhanced lesions (CEL) and the SVZ or cortex (Ctx) on MRI. The initial recurrence pattern (local/distant) was obtained from medical records. To identify factors predictive of recurrence, we examined CD133 expression by immunohistochemical, clinical (age, sex, KPS, Ki-67 labeling index, surgery, and MRI characteristics), and genetic (IDH1, MGMT, and BRAF) factors.

resultsThe CD133 expression rate was higher in SVZ-positive tumors than in SVZ-negative tumors (P = 0.046). Distant recurrence was observed in 21% of patients, and no significant difference was noted in recurrence patterns among the four groups. However, strong CD133 expression was associated with a shorter time to distant recurrence in univariate, multivariate, and propensity-matched scoring analyses (P < 0.0001, P = 0.001, and P = 0.0084, respectively). In the combined analysis, distant recurrence was the most frequent (70%) in group III (SVZ-negative, Ctx-positive) GBM and those with high CD133 expression rates (≥ 15%).

conclusionAn integrated analysis of CD133 expression and MRI-based tumor classification may be useful for predicting the recurrence pattern of GBM.

Indexed as

AC133 AntigenAdultAgedAged, 80 and overBrain NeoplasmsFemaleGlioblastomaHumansLateral VentriclesMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesYoung AdultAC133 AntigenPROM1 protein, humanCD133GlioblastomaSVZ

Identifiers

PMID32020479
OpenAlexW3005045230

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.